code: def test_tensorflow_depthwise_conv2d(
      *,
      x_f_d_df,
      frontend,
      test_flags,
      fn_tree,
      backend_fw,
      on_device,
  ):
      (
          input_dtype,
          x,
          filters,
          dilation,
          data_format,
          stride,
          padding,
      ) = x_f_d_df
      helpers.test_frontend_function(
          input_dtypes=input_dtype,
          backend_to_test=backend_fw,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          input=x,
          filter=filters,
          strides=stride,
          padding=padding,
          rate=dilation,
          name=None,
          data_format=data_format,
      )
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_tensorflow/test_compat/test_v1/test_nn.py
imports: from hypothesis import strategies
  import numpy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  from ivy_tests.test_ivy.test_frontends.test_tensorflow.test_nn import _x_and_filters
label_desc: Use image node_id 2 for calling a global function with example usage: test_tensorflow_depthwise_conv2d() without return types